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It is valid to conduct case studies but they should be tied in with more general statistical processes.
Scientists are sometimes guilty of becoming bogged down in the general picture and it is sometimes important to understand specific cases and ensure a more holistic approach to research. M.: An example of a study using the case study research design.
Some argue that because a case study is such a narrow field that its results cannot be extrapolated to fit an entire question and that they show only one narrow example.
Use examples in your narrative whilst keeping things concise and interesting.
It is useful to show some numerical data but remember that you are only trying to judge trends and not analyze every last piece of data.
The other main thing to remember during case studies is their flexibility.
Whilst a pure scientist is trying to prove or disprove a hypothesis, a case study might introduce new and unexpected results during its course, and lead to research taking new directions.
For example, statistical analysis may have shown that birthrates in African countries are increasing.
A case study on one or two specific countries becomes a powerful and focused tool for determining the social and economic pressures driving this.
With a case study, even more than a questionnaire or survey, it is important to be passive in your research.
You are much more of an observer than an experimenter and you must remember that, even in a multi-subject case, each case must be treated individually and then cross case conclusions can be drawn.